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It’s a 12-week, asynchronous, online course that will require students to work between five and 15 hours a week. It offers a bootcamp in data science and machine learning for individuals with experience in Python and coding.
LYON DATA ANALYSIS PROGRAMS MASTER PROFESSIONAL
Locations: Munich, Zurich, and online CodingNomadsĬodingNomads is an international technical training program and professional network. The course culminates in a final data project in collaboration with real-world industry professionals.Ĭost: $12,389 (11,700 CHF) for remote $13,448 (12,700 CHF) for Zurich $12,723 (€11,800) for Munich The course includes instruction in statistics, machine learning, natural language processing, deep learning, Python, and R. The curriculum of each bootcamp is designed by data scientists and industry hiring managers and partners.Ĭost: $8,000 for the part-time data science bootcamp ($10,000 CAD), $12,500 for the full-time data science bootcamp ($15,400 CAD), $7,200 for the AI engineering bootcamp ($8,600 CAD), $4,500 for the BI and data analytics bootcamp ($5,600 CAD), $7,200 for the data engineering bootcamp ($9,100 CAD)ĭesigned for recent graduates, entrepreneurs, and practitioners seeking to expand their existing skill set, SIT Academy offers a full-time, 12-week data science bootcamp with classes Monday through Friday. The data science and BI and data analytics bootcamps are for intermediate learners, while the AI engineering and data engineering bootcamps are for advanced learners. Offerings include: a part-time and a full-time data science bootcamp, an AI engineering bootcamp, a part-time BI and data analytics bootcamp, and a data engineering bootcamp.
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WeCloudData is a data science and AI academy that offers a number of bootcamps as well as a diploma program and learning paths composed of sequential courses. Here are the top 15 data science boot camps to help you launch a career in data science, according to reviews and data collected from Switchup. It’s a fast growing and lucrative career path, with data scientists reporting an average salary of $122,550 per year, according to Glassdoor. The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills.ĭata engineers and data architects spend more time dealing with code, databases, and complex queries, whereas data analysts and data scientists typically focus on analyzing, collecting, and interpreting large datasets to help guide business decisions. An education in data science can help you land a job as a data analyst, data engineer, data architect, or data scientist.